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Publication search results
found 322 matches
- 2024
- Kiet Yew Leong, Socheatra Soeung, Sovuthy Cheab, Cheng-Kai Lu:
Structural Optimization for Asymmetrical Inline Topology Filter With Transmission Zeros Using Goal-Oriented Reinforcement Learning. IEEE Access 12: 111386-111399 (2024) - Jingchao He, Nan Cheng, Zhisheng Yin, Haibo Zhou, Conghao Zhou, Khalid Aldubaikhy, Abdullah M. Alqasir, Xuemin Shen:
Load-Aware Network Resource Orchestration in LEO Satellite Network: A GAT-Based Approach. IEEE Internet Things J. 11(9): 15969-15984 (2024) - Chengying Huan, Yongchao Liu, Heng Zhang, Shuaiwen Song, Santosh Pandey, Shiyang Chen, Xiangfei Fang, Yue Jin, Baptiste Lepers, Yanjun Wu, Hang Liu:
TEA+: A Novel Temporal Graph Random Walk Engine with Hybrid Storage Architecture. ACM Trans. Archit. Code Optim. 21(2): 37 (2024) - Fangtian Zhong, Xiuzhen Cheng, Dongxiao Yu, Bei Gong, Shuaiwen Song, Jiguo Yu:
MalFox: Camouflaged Adversarial Malware Example Generation Based on Conv-GANs Against Black-Box Detectors. IEEE Trans. Computers 73(4): 980-993 (2024) - Chengying Huan, Yongchao Liu, Heng Zhang, Hang Liu, Shiyang Chen, Shuaiwen Leon Song, Yanjun Wu:
TeGraph+: Scalable Temporal Graph Processing Enabling Flexible Edge Modifications. IEEE Trans. Parallel Distributed Syst. 35(8): 1469-1487 (2024) - Yi Cheng, Wenge Liu, Jian Wang, Chak Tou Leong, Yi Ouyang, Wenjie Li, Xian Wu, Yefeng Zheng:
Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal. AAAI 2024: 17853-17861 - Peiyuan Liu, Siyang Weng, Keqiang Li, Lyu Ni, Chengcheng Yang, Rong Zhang, Weining Qian, Dian Qiao:
Leopard: A General Test Suite for Isolation Level Verification. CIDR 2024 - LeoWu TomyEnrique, Xiangcheng Du, Kangliang Liu, Han Yuan, Zhao Zhou, Cheng Jin:
Efficient Scene Text Image Super-Resolution with Semantic Guidance. ICASSP 2024: 3160-3164 - Haixia Peng, Zihao Zhang, Zhou Su, Yiliang Liu, Tom H. Luan, Nan Cheng:
Intelligent and Cooperative Computing Offloading in the LEO Constellation Assisted IoV Networks. ICC 2024: 5622-5627 - Sam Ade Jacobs, Masahiro Tanaka, Chengming Zhang, Minjia Zhang, Reza Yazdani Aminabadi, Shuaiwen Leon Song, Samyam Rajbhandari, Yuxiong He:
System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models. IPDPS (Workshops) 2024: 1206-1208 - Sam Ade Jacobs, Masahiro Tanaka, Chengming Zhang, Minjia Zhang, Reza Yazdani Aminadabi, Shuaiwen Leon Song, Samyam Rajbhandari, Yuxiong He:
System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models. PODC 2024: 121-130 - Juan Leon Alcazar, Yazeed Alnumay, Cheng Zheng, Hassane Trigui, Sahejad Patel, Bernard Ghanem:
Learning to Read Analog Gauges from Synthetic Data. WACV 2024: 8601-8610 - Shih-Han Chou, Matthew Kowal, Yasmin Niknam, Diana Moyano, Shayaan Mehdi, Richard Pito, Cheng Zhang, Ian Knopke, Sedef Akinli Koçak, Leonid Sigal, Yalda Mohsenzadeh:
Multi-modal News Understanding with Professionally Labelled Videos (ReutersViLNews). CoRR abs/2401.12419 (2024) - Xinle Cheng, Congyue Deng, Adam W. Harley, Yixin Zhu, Leonidas J. Guibas:
Zero-Shot Image Feature Consensus with Deep Functional Maps. CoRR abs/2403.12038 (2024) - LeoWu TomyEnrique, Xiangcheng Du, Kangliang Liu, Han Yuan, Zhao Zhou, Cheng Jin:
Efficient scene text image super-resolution with semantic guidance. CoRR abs/2403.13330 (2024) - Zhiheng Liu, Hao Ouyang, Qiuyu Wang, Ka Leong Cheng, Jie Xiao, Kai Zhu, Nan Xue, Yu Liu, Yujun Shen, Yang Cao:
InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior. CoRR abs/2404.11613 (2024) - Maksym Korablyov, Cheng-Hao Liu, Moksh Jain, Almer M. van der Sloot, Eric Jolicoeur, Edward Ruediger, Andrei Cristian Nica, Emmanuel Bengio, Kostiantyn Lapchevskyi, Daniel St-Cyr, Doris Alexandra Schuetz, Victor Ion Butoi, Jarrid Rector-Brooks, Simon Blackburn, Leo Feng, Hadi Nekoei, Sai Krishna Gottipati, Priyesh Vijayan, Prateek Gupta, Ladislav Rampásek, Sasikanth Avancha, Pierre-Luc Bacon, William L. Hamilton, Brooks Paige, Sanchit Misra, Stanislaw Kamil Jastrzebski, Bharat Kaul, Doina Precup, José Miguel Hernández-Lobato, Marwin H. S. Segler, Michael M. Bronstein, Anne Marinier, Mike Tyers, Yoshua Bengio:
Generative Active Learning for the Search of Small-molecule Protein Binders. CoRR abs/2405.01616 (2024) - Renqiang Luo, Tao Tang, Feng Xia, Jiaying Liu, Chengpei Xu, Leo Yu Zhang, Wei Xiang, Chengqi Zhang:
Algorithmic Fairness: A Tolerance Perspective. CoRR abs/2405.09543 (2024) - Dylan Hillier, Leon Guertler, Cheston Tan, Palaash Agrawal, Chen Ruirui, Bobby Cheng:
Super Tiny Language Models. CoRR abs/2405.14159 (2024) - Chak Tou Leong, Yi Cheng, Kaishuai Xu, Jian Wang, Hanlin Wang, Wenjie Li:
No Two Devils Alike: Unveiling Distinct Mechanisms of Fine-tuning Attacks. CoRR abs/2405.16229 (2024) - Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Xiaoxuan Liu, Mayli Mertens, Yuqing Shang, Xin Li, Di Miao, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Narrendar RaviChandran, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu:
Towards Clinical AI Fairness: Filling Gaps in the Puzzle. CoRR abs/2405.17921 (2024) - Hongwei Bran Li, Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler, Suprosanna Shit, Diana Waldmannstetter, Johannes C. Paetzold, Xiaobin Hu, Benedikt Wiestler, Lucas Zimmer, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze:
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR abs/2405.18435 (2024) - Ali Momeni, Babak Rahmani, Benjamin Scellier, Logan G. Wright, Peter L. McMahon, Clara C. Wanjura, Yuhang Li, Anas Skalli, Natalia G. Berloff, Tatsuhiro Onodera, Ilker Oguz, Francesco Morichetti, Philipp del Hougne, Manuel Le Gallo, Abu Sebastian, Azalia Mirhoseini, Cheng Zhang, Danijela Markovic, Daniel Brunner, Christophe Moser, Sylvain Gigan, Florian Marquardt, Aydogan Ozcan, Julie Grollier, Andrea J. Liu, Demetri Psaltis, Andrea Alù, Romain Fleury:
Training of Physical Neural Networks. CoRR abs/2406.03372 (2024) - Yi Cheng, Wenge Liu, Kaishuai Xu, Wenjun Hou, Yi Ouyang, Chak Tou Leong, Xian Wu, Yefeng Zheng:
Evolving to be Your Soulmate: Personalized Dialogue Agents with Dynamically Adapted Personas. CoRR abs/2406.13960 (2024) - Lintao Zhang, Xiangcheng Du, LeoWu TomyEnrique, Yiqun Wang, Yingbin Zheng, Cheng Jin:
Minutes to Seconds: Speeded-up DDPM-based Image Inpainting with Coarse-to-Fine Sampling. CoRR abs/2407.05875 (2024) - Chia-Hao Kao, Cheng Chien, Yu-Jen Tseng, Yi-Hsin Chen, Alessandro Gnutti, Shao-Yuan Lo, Wen-Hsiao Peng, Riccardo Leonardi:
ComNeck: Bridging Compressed Image Latents and Multimodal LLMs via Universal Transform-Neck. CoRR abs/2407.19651 (2024) - 2023
- Jireh Yi-Le Chan, Khean Thye Bea, Steven Mun Hong Leow, Seuk Wai Phoong, Wai Khuen Cheng:
State of the art: a review of sentiment analysis based on sequential transfer learning. Artif. Intell. Rev. 56(1): 749-780 (2023) - Ryan Shea Ying Cong Tan, Qian Lin, Guat Hwa Low, Ruixi Lin, Tzer Chew Goh, Christopher Chu En Chang, Fung Fung Lee, Wei Yin Chan, Wei Chong Tan, Han Jieh Tey, Fun Loon Leong, Hong Qi Tan, Wen Long Nei, Wen Yee Chay, David Wai Meng Tai, Gillianne Geet Yi Lai, Lionel Tim-Ee Cheng, Fuh Yong Wong, Matthew Chin Heng Chua, Melvin Lee Kiang Chua, Daniel Shao-Weng Tan, Choon Hua Thng, Iain Bee Huat Tan, Hwee Tou Ng:
Inferring cancer disease response from radiology reports using large language models with data augmentation and prompting. J. Am. Medical Informatics Assoc. 30(10): 1657-1664 (2023) - Yong Yang, Chengrui Gao, Zhangqiang Ming, Jixiang Guo, Edou Leopold, Junlong Cheng, Jie Zuo, Min Zhu:
LatLRR-CNN: an infrared and visible image fusion method combining latent low-rank representation and CNN. Multim. Tools Appl. 82(23): 36303-36323 (2023) - Sunghwan Kim, Jie Chen, Tiejun Cheng, Asta Gindulyte, Jia He, Siqian He, Qingliang Li, Benjamin A. Shoemaker, Paul A. Thiessen, Bo Yu, Leonid Zaslavsky, Jian Zhang, Evan E. Bolton:
PubChem 2023 update. Nucleic Acids Res. 51(D1): 1373-1380 (2023)
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